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. 2019 Oct 16;20:745. doi: 10.1186/s12864-019-6073-7

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© The Author(s). 2019

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 1 — GENAVi provides a GUI for gene expression normalization and differential expression analysis. a) Expression Heatmap of differentially expressed genes in ovarian cancer cell lines. b) Clustered heatmap identifies similarities in samples based on selected genes. Normal precursor cells are clustered separately from cancer cell lines. c) Principal Component Analysis (PCA) plot shows sample clustering based on selected genes.